.Net: Added Azure AI Persistent Agents (#81)

* Added PersistentAgentsChatClient

* Added integration tests

* Small fixes

* Added sample

* Added TODO for tools

* Small rename

* Removed user-secrets id

* Renamed project

* Fixed warning

* Fixed warning

* More fixes

* More fixes
This commit is contained in:
Dmytro Struk
2025-06-19 07:01:26 -07:00
committed by GitHub
Unverified
parent d1d69af482
commit 47dcad6b49
13 changed files with 708 additions and 0 deletions
+1
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@@ -6,6 +6,7 @@
</PropertyGroup>
<ItemGroup>
<!-- Azure.* -->
<PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.1.0-beta.2" />
<PackageVersion Include="Azure.AI.OpenAI" Version="2.2.0-beta.4" />
<PackageVersion Include="Azure.Identity" Version="1.14.0" />
<!-- System.* -->
+5
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@@ -8,6 +8,9 @@
<Project Path="tests/AgentConformance.IntegrationTests/AgentConformance.IntegrationTests.csproj">
<BuildType Solution="Publish|*" Project="Release" />
</Project>
<Project Path="tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistent.IntegrationTests.csproj" Id="e91d4745-7ccd-4de8-9bc0-31081f540038">
<BuildType Solution="Publish|*" Project="Release" />
</Project>
<Project Path="tests/OpenAIAssistant.IntegrationTests/OpenAIAssistant.IntegrationTests.csproj" Id="a35b6971-6f27-4904-a168-8e12b229cced">
<BuildType Solution="Publish|*" Project="Release" />
</Project>
@@ -52,6 +55,7 @@
<File Path="src/Shared/Throw/Throw.cs" />
</Folder>
<Folder Name="/Solution Items/src/Shared/IntegrationTests/">
<File Path="src/Shared/IntegrationTests/AzureAIConfiguration.cs" />
<File Path="src/Shared/IntegrationTests/OpenAIConfiguration.cs" />
<File Path="src/Shared/IntegrationTests/README.md" />
</Folder>
@@ -100,6 +104,7 @@
</Folder>
<Project Path="src/Microsoft.Agents.Abstractions/Microsoft.Agents.Abstractions.csproj" />
<Project Path="src/Microsoft.Agents/Microsoft.Agents.csproj" />
<Project Path="src/Microsoft.Extensions.AI.AzureAIAgentsPersistent/Microsoft.Extensions.AI.AzureAIAgentsPersistent.csproj" />
<Project Path="tests/Microsoft.Agents.Abstractions.UnitTests/Microsoft.Agents.Abstractions.UnitTests.csproj">
<BuildType Solution="Publish|*" Project="Debug" />
</Project>
@@ -27,6 +27,7 @@
<ItemGroup>
<ProjectReference Include="..\..\src\Microsoft.Agents\Microsoft.Agents.csproj" />
<ProjectReference Include="..\..\src\Microsoft.Extensions.AI.AzureAIAgentsPersistent\Microsoft.Extensions.AI.AzureAIAgentsPersistent.csproj" />
</ItemGroup>
<ItemGroup>
@@ -0,0 +1,64 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure.AI.Agents.Persistent;
using Azure.Identity;
using Microsoft.Agents;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.AI.AzureAIAgentsPersistent;
using Microsoft.Shared.Samples;
namespace Providers;
/// <summary>
/// Shows how to use <see cref="ChatClientAgent"/> with Azure AI Persistent Agents.
/// </summary>
/// <remarks>
/// Running "az login" command in terminal is required for authentication with Azure AI service.
/// </remarks>
public sealed class ChatClientAgent_With_AzureAIAgentsPersistent(ITestOutputHelper output) : AgentSample(output)
{
private const string JokerName = "Joker";
private const string JokerInstructions = "You are good at telling jokes.";
[Fact]
public async Task RunWithAzureAIAgentsPersistent()
{
// Get a client to create server side agents with.
var persistentAgentsClient = new PersistentAgentsClient(TestConfiguration.AzureAI.Endpoint, new AzureCliCredential());
// Create a server side agent to work with.
var persistentAgentResponse = await persistentAgentsClient.Administration.CreateAgentAsync(
model: TestConfiguration.AzureAI.DeploymentName,
name: JokerName,
instructions: JokerInstructions);
var persistentAgent = persistentAgentResponse.Value;
// Get the chat client to use for the agent.
using var chatClient = persistentAgentsClient.AsIChatClient(persistentAgent.Id);
// Define the agent
ChatClientAgent agent = new(chatClient);
// Start a new thread for the agent conversation.
AgentThread thread = agent.GetNewThread();
// Respond to user input
await RunAgentAsync("Tell me a joke about a pirate.");
await RunAgentAsync("Now add some emojis to the joke.");
// Local function to run agent and display the conversation messages for the thread.
async Task RunAgentAsync(string input)
{
this.WriteUserMessage(input);
var response = await agent.RunAsync(input, thread);
this.WriteResponseOutput(response);
}
// Cleanup
await persistentAgentsClient.Threads.DeleteThreadAsync(thread.Id);
await persistentAgentsClient.Administration.DeleteAgentAsync(persistentAgent.Id);
}
}
@@ -0,0 +1,22 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>$(ProjectsTargetFrameworks)</TargetFrameworks>
<TargetFrameworks Condition="'$(Configuration)' == 'Debug'">$(ProjectsDebugTargetFrameworks)</TargetFrameworks>
<VersionSuffix>alpha</VersionSuffix>
</PropertyGroup>
<Import Project="$(RepoRoot)/dotnet/nuget/nuget-package.props" />
<ItemGroup>
<PackageReference Include="Azure.AI.Agents.Persistent" />
<PackageReference Include="Microsoft.Extensions.AI" />
</ItemGroup>
<PropertyGroup>
<!-- NuGet Package Settings -->
<Title>Microsoft.Extensions.AI.AzureAIAgentsPersistent</Title>
<Description>Implementation of generative AI abstractions for Azure AI Persistent Agents.</Description>
</PropertyGroup>
</Project>
@@ -0,0 +1,432 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Linq;
using System.Runtime.CompilerServices;
using System.Text;
using System.Text.Json;
using System.Text.Json.Nodes;
using System.Text.Json.Serialization;
using System.Threading;
using System.Threading.Tasks;
using Azure.AI.Agents.Persistent;
namespace Microsoft.Extensions.AI.AzureAIAgentsPersistent;
/// <summary>Represents an <see cref="IChatClient"/> for an Azure.AI.Agents.Persistent <see cref="PersistentAgentsClient"/>.</summary>
public sealed partial class PersistentAgentsChatClient : IChatClient
{
/// <summary>The name of the chat client provider.</summary>
private const string ProviderName = "azure";
/// <summary>The underlying <see cref="PersistentAgentsClient" />.</summary>
private readonly PersistentAgentsClient _client;
/// <summary>Metadata for the client.</summary>
private readonly ChatClientMetadata _metadata;
/// <summary>The ID of the agent to use.</summary>
private readonly string _agentId;
/// <summary>The thread ID to use if none is supplied in <see cref="ChatOptions.ConversationId"/>.</summary>
private readonly string? _threadId;
/// <summary>Initializes a new instance of the <see cref="PersistentAgentsChatClient"/> class for the specified <see cref="PersistentAgentsClient"/>.</summary>
public PersistentAgentsChatClient(PersistentAgentsClient client, string agentId, string? threadId)
{
if (client is null)
{
throw new ArgumentNullException(nameof(client));
}
if (string.IsNullOrWhiteSpace(agentId))
{
throw new ArgumentException("Cannot be null or be comprised of only whitespace.", nameof(agentId));
}
this._client = client;
this._agentId = agentId;
this._threadId = threadId;
this._metadata = new(ProviderName);
}
/// <inheritdoc />
public object? GetService(Type serviceType, object? serviceKey = null) =>
serviceType is null ? throw new ArgumentNullException(nameof(serviceType)) :
serviceKey is not null ? null :
serviceType == typeof(ChatClientMetadata) ? this._metadata :
serviceType == typeof(PersistentAgentsClient) ? this._client :
serviceType.IsInstanceOfType(this) ? this :
null;
/// <inheritdoc />
public Task<ChatResponse> GetResponseAsync(
IEnumerable<ChatMessage> messages, ChatOptions? options = null, CancellationToken cancellationToken = default) =>
this.GetStreamingResponseAsync(messages, options, cancellationToken).ToChatResponseAsync(cancellationToken);
/// <inheritdoc />
public async IAsyncEnumerable<ChatResponseUpdate> GetStreamingResponseAsync(
IEnumerable<ChatMessage> messages, ChatOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
{
if (messages is null)
{
throw new ArgumentNullException(nameof(messages));
}
// Extract necessary state from messages and options.
(ThreadAndRunOptions runOptions, List<FunctionResultContent>? toolResults) = this.CreateRunOptions(messages, options);
// Get the thread ID.
string? threadId = options?.ConversationId ?? this._threadId;
if (threadId is null && toolResults is not null)
{
throw new ArgumentException("No thread ID was provided, but chat messages includes tool results.", nameof(messages));
}
// Get any active run ID for this thread.
ThreadRun? threadRun = null;
if (threadId is not null)
{
await foreach (var run in this._client.Runs.GetRunsAsync(threadId, limit: 1, ListSortOrder.Descending, cancellationToken: cancellationToken).ConfigureAwait(false))
{
if (run.Status != RunStatus.Completed && run.Status != RunStatus.Cancelled && run.Status != RunStatus.Failed && run.Status != RunStatus.Expired)
{
threadRun = run;
break;
}
}
}
// Submit the request.
IAsyncEnumerable<StreamingUpdate> updates;
if (threadRun is not null &&
ConvertFunctionResultsToToolOutput(toolResults, out List<ToolOutput>? toolOutputs) is { } toolRunId &&
toolRunId == threadRun.Id)
{
// There's an active run and we have tool results to submit, so submit the results and continue streaming.
// This is going to ignore any additional messages in the run options, as we are only submitting tool outputs,
// but there doesn't appear to be a way to submit additional messages, and having such additional messages is rare.
updates = this._client.Runs.SubmitToolOutputsToStreamAsync(threadRun, toolOutputs, cancellationToken);
}
else
{
if (threadId is null)
{
// No thread ID was provided, so create a new thread.
PersistentAgentThread thread = await this._client.Threads.CreateThreadAsync(runOptions.ThreadOptions.Messages, runOptions.ToolResources, runOptions.Metadata, cancellationToken).ConfigureAwait(false);
runOptions.ThreadOptions.Messages.Clear();
threadId = thread.Id;
}
else if (threadRun is not null)
{
// There was an active run; we need to cancel it before starting a new run.
await this._client.Runs.CancelRunAsync(threadId, threadRun.Id, cancellationToken).ConfigureAwait(false);
threadRun = null;
}
// Now create a new run and stream the results.
updates = this._client.Runs.CreateRunStreamingAsync(
threadId: threadId,
agentId: this._agentId,
overrideModelName: runOptions?.OverrideModelName,
overrideInstructions: runOptions?.OverrideInstructions,
additionalInstructions: null,
additionalMessages: runOptions?.ThreadOptions.Messages,
overrideTools: runOptions?.OverrideTools,
temperature: runOptions?.Temperature,
topP: runOptions?.TopP,
maxPromptTokens: runOptions?.MaxPromptTokens,
maxCompletionTokens: runOptions?.MaxCompletionTokens,
truncationStrategy: runOptions?.TruncationStrategy,
toolChoice: runOptions?.ToolChoice,
responseFormat: runOptions?.ResponseFormat,
parallelToolCalls: runOptions?.ParallelToolCalls,
metadata: runOptions?.Metadata,
cancellationToken);
}
// Process each update.
string? responseId = null;
await foreach (var update in updates.ConfigureAwait(false))
{
switch (update)
{
case ThreadUpdate tu:
threadId ??= tu.Value.Id;
goto default;
case RunUpdate ru:
threadId ??= ru.Value.ThreadId;
responseId ??= ru.Value.Id;
ChatResponseUpdate ruUpdate = new()
{
AuthorName = ru.Value.AssistantId,
ConversationId = threadId,
CreatedAt = ru.Value.CreatedAt,
MessageId = responseId,
ModelId = ru.Value.Model,
RawRepresentation = ru,
ResponseId = responseId,
Role = ChatRole.Assistant,
};
if (ru.Value.Usage is { } usage)
{
ruUpdate.Contents.Add(new UsageContent(new()
{
InputTokenCount = usage.PromptTokens,
OutputTokenCount = usage.CompletionTokens,
TotalTokenCount = usage.TotalTokens,
}));
}
if (ru is RequiredActionUpdate rau && rau.ToolCallId is string toolCallId && rau.FunctionName is string functionName)
{
ruUpdate.Contents.Add(
new FunctionCallContent(
JsonSerializer.Serialize([ru.Value.Id, toolCallId], AgentsChatClientJsonContext.Default.StringArray),
functionName,
JsonSerializer.Deserialize(rau.FunctionArguments, AgentsChatClientJsonContext.Default.IDictionaryStringObject)!));
}
yield return ruUpdate;
break;
case MessageContentUpdate mcu:
yield return new(mcu.Role == MessageRole.User ? ChatRole.User : ChatRole.Assistant, mcu.Text)
{
ConversationId = threadId,
MessageId = responseId,
RawRepresentation = mcu,
ResponseId = responseId,
};
break;
default:
yield return new ChatResponseUpdate
{
ConversationId = threadId,
MessageId = responseId,
RawRepresentation = update,
ResponseId = responseId,
Role = ChatRole.Assistant,
};
break;
}
}
}
/// <inheritdoc />
public void Dispose() { }
/// <summary>
/// Creates the <see cref="ThreadAndRunOptions"/> to use for the request and extracts any function result contents
/// that need to be submitted as tool results.
/// </summary>
private (ThreadAndRunOptions RunOptions, List<FunctionResultContent>? ToolResults) CreateRunOptions(
IEnumerable<ChatMessage> messages, ChatOptions? options)
{
// Create the options instance to populate, either a fresh or using one the caller provides.
ThreadAndRunOptions runOptions =
options?.RawRepresentationFactory?.Invoke(this) as ThreadAndRunOptions ??
new();
// Populate the run options from the ChatOptions, if provided.
if (options is not null)
{
runOptions.MaxCompletionTokens ??= options.MaxOutputTokens;
runOptions.OverrideModelName ??= options.ModelId;
runOptions.TopP ??= options.TopP;
runOptions.Temperature ??= options.Temperature;
runOptions.ParallelToolCalls ??= options.AllowMultipleToolCalls;
// Ignored: options.TopK, options.FrequencyPenalty, options.Seed, options.StopSequences
// TODO: When moved to Azure.AI.Agents.Persistent, merge agent tools with override tools, in similar way like here:
// https://github.com/dotnet/extensions/blob/694b95ef75c6bd9de00ef761dadae4e70ee8739f/src/Libraries/Microsoft.Extensions.AI.OpenAI/OpenAIAssistantChatClient.cs#L263-L279
if (options.Tools is { Count: > 0 } tools)
{
// The caller can provide tools in the supplied ThreadAndRunOptions. Augment it with any supplied via ChatOptions.Tools.
IList<ToolDefinition> toolDefinitions = runOptions.OverrideTools is not null ? [.. runOptions.OverrideTools] : [];
foreach (AITool tool in tools)
{
switch (tool)
{
case AIFunction aiFunction:
toolDefinitions.Add(new FunctionToolDefinition(
aiFunction.Name,
aiFunction.Description,
BinaryData.FromBytes(JsonSerializer.SerializeToUtf8Bytes(aiFunction.JsonSchema, AgentsChatClientJsonContext.Default.JsonElement))));
break;
case HostedCodeInterpreterTool:
toolDefinitions.Add(new CodeInterpreterToolDefinition());
break;
case HostedWebSearchTool webSearch when webSearch.AdditionalProperties?.TryGetValue("connectionId", out object? connectionId) is true:
toolDefinitions.Add(new BingGroundingToolDefinition(new BingGroundingSearchToolParameters([new BingGroundingSearchConfiguration(connectionId!.ToString())])));
break;
}
}
if (toolDefinitions.Count > 0)
{
runOptions.OverrideTools = toolDefinitions;
}
}
// Store the tool mode, if relevant.
if (runOptions.ToolChoice is null)
{
switch (options.ToolMode)
{
case NoneChatToolMode:
runOptions.ToolChoice = BinaryData.FromString("none");
break;
case RequiredChatToolMode required:
runOptions.ToolChoice = required.RequiredFunctionName is string functionName ?
BinaryData.FromString($$"""{"type": "function", "function": {"name": "{{functionName}}"} }""") :
BinaryData.FromString("required");
break;
}
}
// Store the response format, if relevant.
if (runOptions.ResponseFormat is null)
{
if (options.ResponseFormat is ChatResponseFormatJson jsonFormat)
{
runOptions.ResponseFormat = jsonFormat.Schema is { } schema ?
BinaryData.FromBytes(JsonSerializer.SerializeToUtf8Bytes(new()
{
["type"] = "json_schema",
["json_schema"] = JsonSerializer.SerializeToNode(schema, AgentsChatClientJsonContext.Default.JsonNode),
}, AgentsChatClientJsonContext.Default.JsonObject)) :
BinaryData.FromString("""{ "type": "json_object" }""");
}
}
}
// Process ChatMessages. System messages are turned into additional instructions.
// All other messages are added 1:1, treating assistant messages as agent messages
// and everything else as user messages.
StringBuilder? instructions = null;
List<FunctionResultContent>? functionResults = null;
runOptions.ThreadOptions ??= new();
foreach (var chatMessage in messages)
{
List<MessageInputContentBlock> messageContents = [];
if (chatMessage.Role == ChatRole.System ||
chatMessage.Role == new ChatRole("developer"))
{
instructions ??= new();
foreach (var textContent in chatMessage.Contents.OfType<TextContent>())
{
_ = instructions.Append(textContent);
}
continue;
}
foreach (AIContent content in chatMessage.Contents)
{
switch (content)
{
case TextContent text:
messageContents.Add(new MessageInputTextBlock(text.Text));
break;
case DataContent image when image.HasTopLevelMediaType("image"):
messageContents.Add(new MessageInputImageUriBlock(new MessageImageUriParam(image.Uri)));
break;
case UriContent image when image.HasTopLevelMediaType("image"):
messageContents.Add(new MessageInputImageUriBlock(new MessageImageUriParam(image.Uri.ToString())));
break;
case FunctionResultContent result:
(functionResults ??= []).Add(result);
break;
default:
if (content.RawRepresentation is MessageInputContentBlock rawContent)
{
messageContents.Add(rawContent);
}
break;
}
}
if (messageContents.Count > 0)
{
runOptions.ThreadOptions.Messages.Add(new ThreadMessageOptions(
chatMessage.Role == ChatRole.Assistant ? MessageRole.Agent : MessageRole.User,
messageContents));
}
}
if (instructions is not null)
{
runOptions.OverrideInstructions = instructions.ToString();
}
return (runOptions, functionResults);
}
/// <summary>Convert <see cref="FunctionResultContent"/> instances to <see cref="ToolOutput"/> instances."/></summary>
/// <param name="toolResults">The tool results to process.</param>
/// <param name="toolOutputs">The generated list of tool outputs, if any could be created.</param>
/// <returns>The run ID associated with the corresponding function call requests.</returns>
private static string? ConvertFunctionResultsToToolOutput(List<FunctionResultContent>? toolResults, out List<ToolOutput>? toolOutputs)
{
string? runId = null;
toolOutputs = null;
if (toolResults?.Count > 0)
{
foreach (var frc in toolResults)
{
// When creating the FunctionCallContext, we created it with a CallId == [runId, callId].
// We need to extract the run ID and ensure that the ToolOutput we send back to Azure
// is only the call ID.
string[]? runAndCallIDs;
try
{
runAndCallIDs = JsonSerializer.Deserialize(frc.CallId, AgentsChatClientJsonContext.Default.StringArray);
}
#pragma warning disable CA1031 // Do not catch general exception types
catch
#pragma warning restore CA1031 // Do not catch general exception types
{
continue;
}
if (runAndCallIDs is null ||
runAndCallIDs.Length != 2 ||
string.IsNullOrWhiteSpace(runAndCallIDs[0]) || // run ID
string.IsNullOrWhiteSpace(runAndCallIDs[1]) || // call ID
(runId is not null && runId != runAndCallIDs[0]))
{
continue;
}
runId = runAndCallIDs[0];
(toolOutputs ??= []).Add(new(runAndCallIDs[1], frc.Result?.ToString() ?? string.Empty));
}
}
return runId;
}
[JsonSerializable(typeof(JsonElement))]
[JsonSerializable(typeof(JsonNode))]
[JsonSerializable(typeof(JsonObject))]
[JsonSerializable(typeof(string[]))]
[JsonSerializable(typeof(IDictionary<string, object>))]
private sealed partial class AgentsChatClientJsonContext : JsonSerializerContext;
}
@@ -0,0 +1,25 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure.AI.Agents.Persistent;
namespace Microsoft.Extensions.AI.AzureAIAgentsPersistent;
/// <summary>
/// Provides extension methods for <see cref="PersistentAgentsClient"/>.
/// </summary>
public static class PersistentAgentsClientExtensions
{
/// <summary>
/// Creates an <see cref="IChatClient"/> for a <see cref="PersistentAgentsClient"/> client for interacting with a specific agent.
/// </summary>
/// <param name="client">The <see cref="PersistentAgentsClient"/> instance to be accessed as an <see cref="IChatClient"/>.</param>
/// <param name="agentId">The unique identifier of the agent with which to interact.</param>
/// <param name="threadId">
/// An optional existing thread identifier for the chat session. This serves as a default, and may be overridden per call to
/// <see cref="IChatClient.GetResponseAsync"/> or <see cref="IChatClient.GetStreamingResponseAsync"/> via the <see cref="ChatOptions.ConversationId"/>
/// property. If not thread ID is provided via either mechanism, a new thread will be created for the request.
/// </param>
/// <returns>An <see cref="IChatClient"/> instance configured to interact with the specified agent and thread.</returns>
public static IChatClient AsIChatClient(this PersistentAgentsClient client, string agentId, string? threadId = null) =>
new PersistentAgentsChatClient(client, agentId, threadId);
}
@@ -0,0 +1,13 @@
// Copyright (c) Microsoft. All rights reserved.
namespace Shared.IntegrationTests;
#pragma warning disable CS8618 // Non-nullable field must contain a non-null value when exiting constructor. Consider adding the 'required' modifier or declaring as nullable.
#pragma warning disable CA1812 // Internal class that is apparently never instantiated.
internal sealed class AzureAIConfiguration
{
public string Endpoint { get; set; }
public string DeploymentName { get; set; }
}
@@ -43,6 +43,16 @@ public sealed class TestConfiguration
public string? ApiKey { get; set; }
}
/// <summary>Represents the configuration settings required to interact with the Azure AI service.</summary>
public sealed class AzureAIConfig
{
/// <summary>Gets or sets the endpoint of Azure AI Foundry project.</summary>
public string? Endpoint { get; set; }
/// <summary>Gets or sets the name of the model deployment.</summary>
public string? DeploymentName { get; set; }
}
/// <summary>
/// Initializes the configuration system with the specified configuration root.
/// </summary>
@@ -53,6 +63,7 @@ public sealed class TestConfiguration
}
#region Private Members
private readonly IConfigurationRoot _configRoot;
private static TestConfiguration? s_instance;
@@ -66,6 +77,11 @@ public sealed class TestConfiguration
/// </summary>
private static IConfigurationRoot? ConfigurationRoot => s_instance?._configRoot;
/// <summary>
/// Gets the configuration settings for the AzureAI integration.
/// </summary>
public static AzureAIConfig AzureAI => LoadSection<AzureAIConfig>();
/// <summary>
/// Retrieves a configuration section based on the specified key.
/// </summary>
@@ -0,0 +1,14 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>$(ProjectsTargetFrameworks)</TargetFrameworks>
<TargetFrameworks Condition="'$(Configuration)' == 'Debug'">$(ProjectsDebugTargetFrameworks)</TargetFrameworks>
<InjectSharedIntegrationTestCode>True</InjectSharedIntegrationTestCode>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\src\Microsoft.Extensions.AI.AzureAIAgentsPersistent\Microsoft.Extensions.AI.AzureAIAgentsPersistent.csproj" />
<ProjectReference Include="..\AgentConformance.IntegrationTests\AgentConformance.IntegrationTests.csproj" />
</ItemGroup>
</Project>
@@ -0,0 +1,97 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using AgentConformance.IntegrationTests.Support;
using AgentConformanceTests;
using Azure;
using Azure.AI.Agents.Persistent;
using Azure.Identity;
using Microsoft.Agents;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.AI.AzureAIAgentsPersistent;
using Shared.IntegrationTests;
namespace AzureAIAgentsPersistent.IntegrationTests;
public class AzureAIAgentsPersistentFixture : AgentFixture
{
#pragma warning disable CS8618 // Non-nullable field must contain a non-null value when exiting constructor. Consider adding the 'required' modifier or declaring as nullable.
private Agent _agent;
private PersistentAgentsClient _persistentAgentsClient;
private PersistentAgent _persistentAgent;
#pragma warning restore CS8618 // Non-nullable field must contain a non-null value when exiting constructor. Consider adding the 'required' modifier or declaring as nullable.
public override Agent Agent => this._agent;
public override async Task<List<ChatMessage>> GetChatHistoryAsync(AgentThread thread)
{
if (thread is not ChatClientAgentThread chatClientThread)
{
throw new InvalidOperationException($"The thread must be of type {nameof(ChatClientAgentThread)} to retrieve chat history.");
}
List<ChatMessage> messages = [];
AsyncPageable<PersistentThreadMessage> threadMessages = this._persistentAgentsClient.Messages.GetMessagesAsync(threadId: thread.Id, order: ListSortOrder.Ascending);
await foreach (var threadMessage in threadMessages)
{
var message = new ChatMessage
{
Role = threadMessage.Role == MessageRole.User ? ChatRole.User : ChatRole.Assistant
};
foreach (var content in threadMessage.ContentItems)
{
if (content is MessageTextContent textContent)
{
message.Contents.Add(new TextContent(textContent.Text));
}
}
messages.Add(message);
}
return messages;
}
public override Task DeleteThreadAsync(AgentThread thread)
{
if (thread?.Id is not null)
{
return this._persistentAgentsClient.Threads.DeleteThreadAsync(thread.Id);
}
return Task.CompletedTask;
}
public override Task DisposeAsync()
{
if (this._persistentAgentsClient is not null && this._persistentAgent is not null)
{
return this._persistentAgentsClient.Administration.DeleteAgentAsync(this._persistentAgent.Id);
}
return Task.CompletedTask;
}
public override async Task InitializeAsync()
{
var config = TestConfiguration.LoadSection<AzureAIConfiguration>();
this._persistentAgentsClient = new(config.Endpoint, new AzureCliCredential());
var persistentAgentResponse = await this._persistentAgentsClient.Administration.CreateAgentAsync(
model: config.DeploymentName,
name: "HelpfulAssistant",
instructions: "You are a helpful assistant.");
this._persistentAgent = persistentAgentResponse.Value;
var chatClient = this._persistentAgentsClient.AsIChatClient(this._persistentAgent.Id);
this._agent = new ChatClientAgent(chatClient);
}
}
@@ -0,0 +1,9 @@
// Copyright (c) Microsoft. All rights reserved.
using AgentConformance.IntegrationTests;
namespace AzureAIAgentsPersistent.IntegrationTests;
public class AzureAIAgentsPersistentInvokeStreamingTests() : RunStreamingAsyncTests<AzureAIAgentsPersistentFixture>(() => new())
{
}
@@ -0,0 +1,9 @@
// Copyright (c) Microsoft. All rights reserved.
using AgentConformance.IntegrationTests;
namespace AzureAIAgentsPersistent.IntegrationTests;
public class AzureAIAgentsPersistentInvokeTests() : RunAsyncTests<AzureAIAgentsPersistentFixture>(() => new())
{
}